code: def test_batch_InverseBarkScale(self):
      n_barks = 32
      n_stft = 5
      bark_spec = torch.randn(3, 2, n_barks, 32) ** 2
      transform = T.InverseBarkScale(n_stft, n_barks)
  
      # Because InverseBarkScale runs SGD on randomly initialized values so they do not yield
      # exactly same result. For this reason, tolerance is very relaxed here.
      self.assert_batch_consistency(
          transform, bark_spec, atol=1.0, rtol=1e-5
      )
  
file_path: audio/test/torchaudio_unittest/prototype/transforms/batch_consistency_test.py
imports: import os
  import torch
  import torchaudio.prototype.transforms
  from torchaudio_unittest.common_utils import TorchaudioTestCase
label_desc: Use image node_id 3 for calling the BatchConsistencyTest obj's underlying member method code with example usage: obj.test_batch_InverseBarkScale() without return types